Abstract
Four quantization schemes for the reflection coefficients obtained from linear prediction speech analysis are theoretically compared. The asymptotic performance of each scheme is developed and compared using various definitions of "optimal." If the coefficients are treated as independent parameters, it is shown that a fixed bit rate minimum deviation quantization without noiseless source coding can realize within 0.26 bits per coefficient, the ultimate bit rate achievable by allowing noiseless source coding of the data.
Keywords
Quantization (signal processing)Coding (social sciences)Speech codingAlgorithmReflection (computer programming)MathematicsComputer scienceReflection coefficientLinear predictionBit rateApplied mathematicsSpeech recognitionStatisticsOpticsReal-time computingPhysics
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Publication Info
- Year
- 1977
- Type
- article
- Volume
- 25
- Issue
- 1
- Pages
- 9-23
- Citations
- 37
- Access
- Closed
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Cite This
Alfred Gray,
Robert M. Gray,
J. Markel
(1977).
Comparison of optimal quantizations of speech reflection coefficients.
IEEE Transactions on Acoustics Speech and Signal Processing
, 25
(1)
, 9-23.
https://doi.org/10.1109/tassp.1977.1162907
Identifiers
- DOI
- 10.1109/tassp.1977.1162907